In this paper, a salient region extraction method for creating picture collage based on stereo vision is proposed. Picture collage is a kind of visual image summary to arrange all input images on a given canvas, allowing overlay, to maximize visible visual information. The salient regions of each image are firstly extracted and represented as a depth map. The output picture collage shows as many visible salient regions (without being overlaid by others) from all images as possible. A very efficient Genetic algorithm is used here for the optimization. The experimental results showed the superior performance of the proposed method.
@article{arxiv.1201.1417,
title = {Picture Collage with Genetic Algorithm and Stereo vision},
author = {Hesam Ekhtiyar and Mahdi Sheida and Mahmood Amintoosi},
journal= {arXiv preprint arXiv:1201.1417},
year = {2012}
}